Matching geospatial instances

Abstract

The work presented in this paper extends our work on matching formal and informal geospatial ontologies [1], aimed to realize the synergistic use of authoritative and crowd-sourced geospatial information. A geospatial instance is an object which has a certain and verifiable location (geometry, topographic footprint), as well as a meaningful label (for example, Victoria Shopping Centre in Nottingham, UK). The source of examples in this paper are: The OpenStreetMap (OSM) [2] and the Ordnance Survey of Great Britain (OSGB) [3]. Different geospatial instances may have the same purely lexical information and the same classification in terms of an ontology, but different locations. For example, there may be several restaurants called ‘Prezzo Ristorante ’ in the same city. Therefore, when matching geospatial instances, it is essential to use location information. However, few of existing ontology matching or data interlinking methods can match spatial instances effectively. There is also a choice in representing objects such as shopping centres as a collection of parts or as a single instance. For example, Victoria Centre is represented

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